Overview

Brought to you by YData

Dataset statistics

Number of variables32
Number of observations13207
Missing cells46215
Missing cells (%)10.9%
Duplicate rows34
Duplicate rows (%)0.3%
Total size in memory3.3 MiB
Average record size in memory264.0 B

Variable types

Numeric28
Text1
Categorical3

Alerts

Dataset has 34 (0.3%) duplicate rowsDuplicates
Accommodates is highly overall correlated with Bedrooms and 4 other fieldsHigh correlation
Availability 30 is highly overall correlated with Availability 365 and 2 other fieldsHigh correlation
Availability 365 is highly overall correlated with Availability 30 and 2 other fieldsHigh correlation
Availability 60 is highly overall correlated with Availability 30 and 2 other fieldsHigh correlation
Availability 90 is highly overall correlated with Availability 30 and 2 other fieldsHigh correlation
Bedrooms is highly overall correlated with Accommodates and 1 other fieldsHigh correlation
Beds is highly overall correlated with Accommodates and 2 other fieldsHigh correlation
Cleaning Fee is highly overall correlated with Accommodates and 1 other fieldsHigh correlation
Guests Included is highly overall correlated with AccommodatesHigh correlation
Price is highly overall correlated with Accommodates and 2 other fieldsHigh correlation
Review Scores Accuracy is highly overall correlated with Review Scores Cleanliness and 2 other fieldsHigh correlation
Review Scores Checkin is highly overall correlated with Review Scores Communication and 1 other fieldsHigh correlation
Review Scores Cleanliness is highly overall correlated with Review Scores Accuracy and 2 other fieldsHigh correlation
Review Scores Communication is highly overall correlated with Review Scores Checkin and 1 other fieldsHigh correlation
Review Scores Rating is highly overall correlated with Review Scores Accuracy and 4 other fieldsHigh correlation
Review Scores Value is highly overall correlated with Review Scores Accuracy and 2 other fieldsHigh correlation
Bed Type is highly imbalanced (92.5%)Imbalance
Zipcode has 439 (3.3%) missing valuesMissing
Security Deposit has 7572 (57.3%) missing valuesMissing
Cleaning Fee has 5387 (40.8%) missing valuesMissing
Review Scores Rating has 2838 (21.5%) missing valuesMissing
Review Scores Accuracy has 2856 (21.6%) missing valuesMissing
Review Scores Cleanliness has 2850 (21.6%) missing valuesMissing
Review Scores Checkin has 2866 (21.7%) missing valuesMissing
Review Scores Communication has 2850 (21.6%) missing valuesMissing
Review Scores Location has 2868 (21.7%) missing valuesMissing
Review Scores Value has 2868 (21.7%) missing valuesMissing
Square Meters has 12688 (96.1%) missing valuesMissing
Minimum Nights is highly skewed (γ1 = 57.86843726)Skewed
Maximum Nights is highly skewed (γ1 = 106.7075326)Skewed
Neighbourhood Group Cleansed has 789 (6.0%) zerosZeros
Property Type has 10888 (82.4%) zerosZeros
Bedrooms has 925 (7.0%) zerosZeros
Availability 30 has 3465 (26.2%) zerosZeros
Availability 60 has 2537 (19.2%) zerosZeros
Availability 90 has 1806 (13.7%) zerosZeros
Availability 365 has 1126 (8.5%) zerosZeros
Number of Reviews has 2713 (20.5%) zerosZeros
Square Meters has 205 (1.6%) zerosZeros

Reproduction

Analysis started2026-01-21 11:18:46.719135
Analysis finished2026-01-21 11:20:24.778846
Duration1 minute and 38.06 seconds
Software versionydata-profiling vv4.17.0
Download configurationconfig.json

Variables

Host Total Listings Count
Real number (ℝ)

Distinct49
Distinct (%)0.4%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9.8137686
Minimum0
Maximum265
Zeros18
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:24.934170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q35
95-th percentile40
Maximum265
Range265
Interquartile range (IQR)4

Descriptive statistics

Standard deviation27.577815
Coefficient of variation (CV)2.8101146
Kurtosis26.471696
Mean9.8137686
Median Absolute Deviation (MAD)1
Skewness4.9956074
Sum129581
Variance760.53587
MonotonicityNot monotonic
2026-01-21T12:20:25.220082image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
15695
43.1%
22094
 
15.9%
31129
 
8.5%
4707
 
5.4%
5404
 
3.1%
6327
 
2.5%
8243
 
1.8%
10229
 
1.7%
9226
 
1.7%
7177
 
1.3%
Other values (39)1973
 
14.9%
ValueCountFrequency (%)
018
 
0.1%
15695
43.1%
22094
 
15.9%
31129
 
8.5%
4707
 
5.4%
5404
 
3.1%
6327
 
2.5%
7177
 
1.3%
8243
 
1.8%
9226
 
1.7%
ValueCountFrequency (%)
2651
 
< 0.1%
20767
0.5%
164145
1.1%
14277
0.6%
1365
 
< 0.1%
11497
0.7%
811
 
< 0.1%
6839
 
0.3%
5748
 
0.4%
5151
 
0.4%

Neighbourhood Cleansed
Real number (ℝ)

Distinct125
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.636708
Minimum0
Maximum124
Zeros18
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:25.463921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q148
median62
Q3104
95-th percentile114
Maximum124
Range124
Interquartile range (IQR)56

Descriptive statistics

Standard deviation33.512163
Coefficient of variation (CV)0.48825422
Kurtosis-1.0703721
Mean68.636708
Median Absolute Deviation (MAD)23
Skewness-0.056109183
Sum906485
Variance1123.065
MonotonicityNot monotonic
2026-01-21T12:20:25.681304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
481844
 
14.0%
1141358
 
10.3%
801083
 
8.2%
111940
 
7.1%
62785
 
5.9%
39750
 
5.7%
113315
 
2.4%
16264
 
2.0%
84262
 
2.0%
55229
 
1.7%
Other values (115)5377
40.7%
ValueCountFrequency (%)
018
 
0.1%
1145
1.1%
251
 
0.4%
36
 
< 0.1%
415
 
0.1%
524
 
0.2%
6155
1.2%
762
 
0.5%
845
 
0.3%
945
 
0.3%
ValueCountFrequency (%)
1249
 
0.1%
12374
0.6%
12217
 
0.1%
12178
0.6%
12045
0.3%
11960
0.5%
11820
 
0.2%
1174
 
< 0.1%
11655
0.4%
11548
0.4%

Neighbourhood Group Cleansed
Real number (ℝ)

Zeros 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6884985
Minimum0
Maximum20
Zeros789
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:25.939731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median3
Q38
95-th percentile16
Maximum20
Range20
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.7393558
Coefficient of variation (CV)0.83314706
Kurtosis0.17976145
Mean5.6884985
Median Absolute Deviation (MAD)0
Skewness1.2006384
Sum75128
Variance22.461493
MonotonicityNot monotonic
2026-01-21T12:20:26.198044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
36760
51.2%
5958
 
7.3%
14882
 
6.7%
0789
 
6.0%
16457
 
3.5%
13438
 
3.3%
10416
 
3.1%
9376
 
2.8%
4356
 
2.7%
2353
 
2.7%
Other values (11)1422
 
10.8%
ValueCountFrequency (%)
0789
 
6.0%
179
 
0.6%
2353
 
2.7%
36760
51.2%
4356
 
2.7%
5958
 
7.3%
6302
 
2.3%
7150
 
1.1%
8183
 
1.4%
9376
 
2.8%
ValueCountFrequency (%)
2079
 
0.6%
1944
 
0.3%
1832
 
0.2%
17144
 
1.1%
16457
3.5%
15117
 
0.9%
14882
6.7%
13438
3.3%
12218
 
1.7%
1174
 
0.6%

Zipcode
Text

Missing 

Distinct76
Distinct (%)0.6%
Missing439
Missing (%)3.3%
Memory size206.4 KiB
2026-01-21T12:20:26.593302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length12
Median length5
Mean length5.0007049
Min length1

Characters and Unicode

Total characters63849
Distinct characters18
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)0.2%

Sample

1st row28007
2nd row28001
3rd row28001
4th row28001
5th row28001
ValueCountFrequency (%)
280122060
16.1%
280041795
14.1%
280051194
 
9.3%
280131019
 
8.0%
28014630
 
4.9%
28015600
 
4.7%
28045495
 
3.9%
28010384
 
3.0%
28008338
 
2.6%
28028263
 
2.1%
Other values (64)3993
31.3%
2026-01-21T12:20:27.293747image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
018050
28.3%
216214
25.4%
813488
21.1%
16023
 
9.4%
43437
 
5.4%
52677
 
4.2%
32202
 
3.4%
9690
 
1.1%
7569
 
0.9%
6489
 
0.8%
Other values (8)10
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)63849
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
018050
28.3%
216214
25.4%
813488
21.1%
16023
 
9.4%
43437
 
5.4%
52677
 
4.2%
32202
 
3.4%
9690
 
1.1%
7569
 
0.9%
6489
 
0.8%
Other values (8)10
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)63849
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
018050
28.3%
216214
25.4%
813488
21.1%
16023
 
9.4%
43437
 
5.4%
52677
 
4.2%
32202
 
3.4%
9690
 
1.1%
7569
 
0.9%
6489
 
0.8%
Other values (8)10
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)63849
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
018050
28.3%
216214
25.4%
813488
21.1%
16023
 
9.4%
43437
 
5.4%
52677
 
4.2%
32202
 
3.4%
9690
 
1.1%
7569
 
0.9%
6489
 
0.8%
Other values (8)10
 
< 0.1%

Market
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0119634
Minimum0
Maximum5
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:27.450298image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.18787045
Coefficient of variation (CV)0.093376674
Kurtosis241.91617
Mean2.0119634
Median Absolute Deviation (MAD)0
Skewness15.318928
Sum26572
Variance0.035295304
MonotonicityNot monotonic
2026-01-21T12:20:27.671089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
213145
99.5%
550
 
0.4%
39
 
0.1%
11
 
< 0.1%
41
 
< 0.1%
01
 
< 0.1%
ValueCountFrequency (%)
01
 
< 0.1%
11
 
< 0.1%
213145
99.5%
39
 
0.1%
41
 
< 0.1%
550
 
0.4%
ValueCountFrequency (%)
550
 
0.4%
41
 
< 0.1%
39
 
0.1%
213145
99.5%
11
 
< 0.1%
01
 
< 0.1%

Property Type
Real number (ℝ)

Zeros 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9863709
Minimum0
Maximum21
Zeros10888
Zeros (%)82.4%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:27.855000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.7893499
Coefficient of variation (CV)2.4111056
Kurtosis2.8018688
Mean1.9863709
Median Absolute Deviation (MAD)0
Skewness2.1392779
Sum26234
Variance22.937873
MonotonicityNot monotonic
2026-01-21T12:20:28.051231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
010888
82.4%
14966
 
7.3%
8345
 
2.6%
1337
 
2.6%
15283
 
2.1%
16220
 
1.7%
943
 
0.3%
1239
 
0.3%
724
 
0.2%
1316
 
0.1%
Other values (12)46
 
0.3%
ValueCountFrequency (%)
010888
82.4%
1337
 
2.6%
21
 
< 0.1%
36
 
< 0.1%
41
 
< 0.1%
52
 
< 0.1%
63
 
< 0.1%
724
 
0.2%
8345
 
2.6%
943
 
0.3%
ValueCountFrequency (%)
214
 
< 0.1%
208
 
0.1%
191
 
< 0.1%
181
 
< 0.1%
1713
 
0.1%
16220
 
1.7%
15283
 
2.1%
14966
7.3%
1316
 
0.1%
1239
 
0.3%

Room Type
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size206.4 KiB
0
7903 
1
5113 
2
 
191

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters13207
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
07903
59.8%
15113
38.7%
2191
 
1.4%

Length

2026-01-21T12:20:28.278871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-21T12:20:28.457407image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
07903
59.8%
15113
38.7%
2191
 
1.4%

Most occurring characters

ValueCountFrequency (%)
07903
59.8%
15113
38.7%
2191
 
1.4%

Most occurring categories

ValueCountFrequency (%)
(unknown)13207
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
07903
59.8%
15113
38.7%
2191
 
1.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown)13207
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
07903
59.8%
15113
38.7%
2191
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown)13207
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
07903
59.8%
15113
38.7%
2191
 
1.4%

Accommodates
Real number (ℝ)

High correlation 

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1910351
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:28.597395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile6
Maximum16
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9913302
Coefficient of variation (CV)0.62403896
Kurtosis5.8987942
Mean3.1910351
Median Absolute Deviation (MAD)1
Skewness1.8162232
Sum42144
Variance3.9653959
MonotonicityNot monotonic
2026-01-21T12:20:28.850492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
24708
35.6%
42972
22.5%
11929
14.6%
31304
 
9.9%
61017
 
7.7%
5640
 
4.8%
8238
 
1.8%
7161
 
1.2%
1090
 
0.7%
948
 
0.4%
Other values (6)100
 
0.8%
ValueCountFrequency (%)
11929
14.6%
24708
35.6%
31304
 
9.9%
42972
22.5%
5640
 
4.8%
61017
 
7.7%
7161
 
1.2%
8238
 
1.8%
948
 
0.4%
1090
 
0.7%
ValueCountFrequency (%)
1631
 
0.2%
151
 
< 0.1%
1410
 
0.1%
133
 
< 0.1%
1239
 
0.3%
1116
 
0.1%
1090
 
0.7%
948
 
0.4%
8238
1.8%
7161
1.2%

Bathrooms
Real number (ℝ)

Distinct16
Distinct (%)0.1%
Missing49
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean1.252736
Minimum0
Maximum8
Zeros65
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:29.073260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.59969948
Coefficient of variation (CV)0.47871179
Kurtosis18.514204
Mean1.252736
Median Absolute Deviation (MAD)0
Skewness3.4205356
Sum16483.5
Variance0.35963947
MonotonicityNot monotonic
2026-01-21T12:20:29.361122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
110067
76.2%
22029
 
15.4%
1.5459
 
3.5%
3237
 
1.8%
2.593
 
0.7%
065
 
0.5%
0.562
 
0.5%
542
 
0.3%
436
 
0.3%
4.523
 
0.2%
Other values (6)45
 
0.3%
(Missing)49
 
0.4%
ValueCountFrequency (%)
065
 
0.5%
0.562
 
0.5%
110067
76.2%
1.5459
 
3.5%
22029
 
15.4%
2.593
 
0.7%
3237
 
1.8%
3.515
 
0.1%
436
 
0.3%
4.523
 
0.2%
ValueCountFrequency (%)
83
 
< 0.1%
71
 
< 0.1%
6.51
 
< 0.1%
621
 
0.2%
5.54
 
< 0.1%
542
 
0.3%
4.523
 
0.2%
436
 
0.3%
3.515
 
0.1%
3237
1.8%

Bedrooms
Real number (ℝ)

High correlation  Zeros 

Distinct10
Distinct (%)0.1%
Missing23
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean1.294372
Minimum0
Maximum10
Zeros925
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:29.526325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.82683059
Coefficient of variation (CV)0.63878901
Kurtosis11.407548
Mean1.294372
Median Absolute Deviation (MAD)0
Skewness2.2896557
Sum17065
Variance0.68364882
MonotonicityNot monotonic
2026-01-21T12:20:29.640370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
18911
67.5%
22331
 
17.6%
0925
 
7.0%
3735
 
5.6%
4196
 
1.5%
553
 
0.4%
616
 
0.1%
106
 
< 0.1%
76
 
< 0.1%
85
 
< 0.1%
(Missing)23
 
0.2%
ValueCountFrequency (%)
0925
 
7.0%
18911
67.5%
22331
 
17.6%
3735
 
5.6%
4196
 
1.5%
553
 
0.4%
616
 
0.1%
76
 
< 0.1%
85
 
< 0.1%
106
 
< 0.1%
ValueCountFrequency (%)
106
 
< 0.1%
85
 
< 0.1%
76
 
< 0.1%
616
 
0.1%
553
 
0.4%
4196
 
1.5%
3735
 
5.6%
22331
 
17.6%
18911
67.5%
0925
 
7.0%

Beds
Real number (ℝ)

High correlation 

Distinct16
Distinct (%)0.1%
Missing49
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean1.9860161
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:29.756258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile5
Maximum16
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5114628
Coefficient of variation (CV)0.76105264
Kurtosis15.887967
Mean1.9860161
Median Absolute Deviation (MAD)1
Skewness3.0930716
Sum26132
Variance2.2845198
MonotonicityNot monotonic
2026-01-21T12:20:29.881021image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
16571
49.8%
23584
27.1%
31477
 
11.2%
4805
 
6.1%
5310
 
2.3%
6176
 
1.3%
767
 
0.5%
863
 
0.5%
1039
 
0.3%
929
 
0.2%
Other values (6)37
 
0.3%
(Missing)49
 
0.4%
ValueCountFrequency (%)
16571
49.8%
23584
27.1%
31477
 
11.2%
4805
 
6.1%
5310
 
2.3%
6176
 
1.3%
767
 
0.5%
863
 
0.5%
929
 
0.2%
1039
 
0.3%
ValueCountFrequency (%)
1614
 
0.1%
152
 
< 0.1%
144
 
< 0.1%
133
 
< 0.1%
129
 
0.1%
115
 
< 0.1%
1039
0.3%
929
0.2%
863
0.5%
767
0.5%

Bed Type
Categorical

Imbalance 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size206.4 KiB
4
12914 
3
 
238
2
 
35
1
 
15
0
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters13207
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
412914
97.8%
3238
 
1.8%
235
 
0.3%
115
 
0.1%
05
 
< 0.1%

Length

2026-01-21T12:20:30.040639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-21T12:20:30.182995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
412914
97.8%
3238
 
1.8%
235
 
0.3%
115
 
0.1%
05
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
412914
97.8%
3238
 
1.8%
235
 
0.3%
115
 
0.1%
05
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)13207
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
412914
97.8%
3238
 
1.8%
235
 
0.3%
115
 
0.1%
05
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)13207
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
412914
97.8%
3238
 
1.8%
235
 
0.3%
115
 
0.1%
05
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)13207
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
412914
97.8%
3238
 
1.8%
235
 
0.3%
115
 
0.1%
05
 
< 0.1%

Price
Real number (ℝ)

High correlation 

Distinct279
Distinct (%)2.1%
Missing9
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean65.924686
Minimum9
Maximum875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:30.467933image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile18
Q131
median52
Q380
95-th percentile150
Maximum875
Range866
Interquartile range (IQR)49

Descriptive statistics

Standard deviation56.008552
Coefficient of variation (CV)0.84958391
Kurtosis30.25431
Mean65.924686
Median Absolute Deviation (MAD)23
Skewness4.0826972
Sum870074
Variance3136.9579
MonotonicityNot monotonic
2026-01-21T12:20:30.634685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50611
 
4.6%
60532
 
4.0%
25525
 
4.0%
30519
 
3.9%
35452
 
3.4%
20428
 
3.2%
70426
 
3.2%
40423
 
3.2%
45422
 
3.2%
80384
 
2.9%
Other values (269)8476
64.2%
ValueCountFrequency (%)
92
 
< 0.1%
1043
 
0.3%
1131
 
0.2%
1244
 
0.3%
1322
 
0.2%
1444
 
0.3%
15147
1.1%
1693
0.7%
1788
0.7%
18167
1.3%
ValueCountFrequency (%)
8751
< 0.1%
8501
< 0.1%
8001
< 0.1%
7502
< 0.1%
7001
< 0.1%
6501
< 0.1%
6002
< 0.1%
5952
< 0.1%
5901
< 0.1%
5791
< 0.1%

Security Deposit
Real number (ℝ)

Missing 

Distinct105
Distinct (%)1.9%
Missing7572
Missing (%)57.3%
Infinite0
Infinite (%)0.0%
Mean183.46229
Minimum70
Maximum990
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:30.789177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile93.7
Q1100
median150
Q3200
95-th percentile400
Maximum990
Range920
Interquartile range (IQR)100

Descriptive statistics

Standard deviation109.05681
Coefficient of variation (CV)0.59443718
Kurtosis9.1841163
Mean183.46229
Median Absolute Deviation (MAD)50
Skewness2.5177815
Sum1033810
Variance11893.387
MonotonicityNot monotonic
2026-01-21T12:20:30.969309image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1001489
 
11.3%
2001285
 
9.7%
1501097
 
8.3%
300430
 
3.3%
250262
 
2.0%
500133
 
1.0%
90130
 
1.0%
12099
 
0.7%
40085
 
0.6%
35047
 
0.4%
Other values (95)578
 
4.4%
(Missing)7572
57.3%
ValueCountFrequency (%)
709
 
0.1%
754
 
< 0.1%
761
 
< 0.1%
8030
0.2%
843
 
< 0.1%
8543
0.3%
868
 
0.1%
879
 
0.1%
8811
 
0.1%
898
 
0.1%
ValueCountFrequency (%)
9901
 
< 0.1%
9501
 
< 0.1%
9007
 
0.1%
8503
 
< 0.1%
8401
 
< 0.1%
80010
0.1%
7507
 
0.1%
7151
 
< 0.1%
7021
 
< 0.1%
70019
0.1%

Cleaning Fee
Real number (ℝ)

High correlation  Missing 

Distinct89
Distinct (%)1.1%
Missing5387
Missing (%)40.8%
Infinite0
Infinite (%)0.0%
Mean29.629284
Minimum4
Maximum500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:31.250877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q115
median25
Q335
95-th percentile70
Maximum500
Range496
Interquartile range (IQR)20

Descriptive statistics

Standard deviation25.938993
Coefficient of variation (CV)0.87545122
Kurtosis47.076146
Mean29.629284
Median Absolute Deviation (MAD)10
Skewness5.0793231
Sum231701
Variance672.83135
MonotonicityNot monotonic
2026-01-21T12:20:31.567275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
301314
 
9.9%
201151
 
8.7%
10795
 
6.0%
15693
 
5.2%
25688
 
5.2%
40540
 
4.1%
50402
 
3.0%
5377
 
2.9%
35262
 
2.0%
60170
 
1.3%
Other values (79)1428
 
10.8%
(Missing)5387
40.8%
ValueCountFrequency (%)
42
 
< 0.1%
5377
2.9%
643
 
0.3%
742
 
0.3%
888
 
0.7%
930
 
0.2%
10795
6.0%
1111
 
0.1%
12100
 
0.8%
1315
 
0.1%
ValueCountFrequency (%)
5001
 
< 0.1%
3751
 
< 0.1%
3502
 
< 0.1%
3005
 
< 0.1%
25016
0.1%
20019
0.1%
1803
 
< 0.1%
1741
 
< 0.1%
1606
 
< 0.1%
15011
0.1%

Guests Included
Real number (ℝ)

High correlation 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5746952
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:31.923924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum16
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0832409
Coefficient of variation (CV)0.6879051
Kurtosis17.554188
Mean1.5746952
Median Absolute Deviation (MAD)0
Skewness3.2576585
Sum20797
Variance1.1734108
MonotonicityNot monotonic
2026-01-21T12:20:32.164249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
18638
65.4%
23181
 
24.1%
4686
 
5.2%
3413
 
3.1%
6120
 
0.9%
597
 
0.7%
727
 
0.2%
826
 
0.2%
108
 
0.1%
94
 
< 0.1%
Other values (4)7
 
0.1%
ValueCountFrequency (%)
18638
65.4%
23181
 
24.1%
3413
 
3.1%
4686
 
5.2%
597
 
0.7%
6120
 
0.9%
727
 
0.2%
826
 
0.2%
94
 
< 0.1%
108
 
0.1%
ValueCountFrequency (%)
161
 
< 0.1%
152
 
< 0.1%
141
 
< 0.1%
123
 
< 0.1%
108
 
0.1%
94
 
< 0.1%
826
 
0.2%
727
 
0.2%
6120
0.9%
597
0.7%

Minimum Nights
Real number (ℝ)

Skewed 

Distinct41
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0225638
Minimum1
Maximum1125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:32.430859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile7
Maximum1125
Range1124
Interquartile range (IQR)2

Descriptive statistics

Standard deviation12.887293
Coefficient of variation (CV)4.2636961
Kurtosis4547.6428
Mean3.0225638
Median Absolute Deviation (MAD)1
Skewness57.868437
Sum39919
Variance166.08233
MonotonicityNot monotonic
2026-01-21T12:20:32.632149image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
24664
35.3%
14519
34.2%
32174
16.5%
4537
 
4.1%
5433
 
3.3%
7337
 
2.6%
10148
 
1.1%
698
 
0.7%
3082
 
0.6%
1569
 
0.5%
Other values (31)146
 
1.1%
ValueCountFrequency (%)
14519
34.2%
24664
35.3%
32174
16.5%
4537
 
4.1%
5433
 
3.3%
698
 
0.7%
7337
 
2.6%
85
 
< 0.1%
95
 
< 0.1%
10148
 
1.1%
ValueCountFrequency (%)
11251
 
< 0.1%
3653
 
< 0.1%
3601
 
< 0.1%
1851
 
< 0.1%
1801
 
< 0.1%
1701
 
< 0.1%
1203
 
< 0.1%
991
 
< 0.1%
912
 
< 0.1%
9012
0.1%

Maximum Nights
Real number (ℝ)

Skewed 

Distinct163
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean958.92148
Minimum1
Maximum1000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:32.918755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q1365
median1125
Q31125
95-th percentile1125
Maximum1000000
Range999999
Interquartile range (IQR)760

Descriptive statistics

Standard deviation8926.0205
Coefficient of variation (CV)9.3083957
Kurtosis11891.273
Mean958.92148
Median Absolute Deviation (MAD)0
Skewness106.70753
Sum12664476
Variance79673843
MonotonicityNot monotonic
2026-01-21T12:20:33.194686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11259318
70.6%
30575
 
4.4%
365446
 
3.4%
15256
 
1.9%
7245
 
1.9%
60204
 
1.5%
10197
 
1.5%
90177
 
1.3%
5109
 
0.8%
31105
 
0.8%
Other values (153)1575
 
11.9%
ValueCountFrequency (%)
115
 
0.1%
232
 
0.2%
399
0.7%
481
 
0.6%
5109
0.8%
674
 
0.6%
7245
1.9%
840
 
0.3%
919
 
0.1%
10197
1.5%
ValueCountFrequency (%)
10000001
 
< 0.1%
1000001
 
< 0.1%
999994
< 0.1%
300001
 
< 0.1%
111112
 
< 0.1%
100006
< 0.1%
99994
< 0.1%
55551
 
< 0.1%
50001
 
< 0.1%
25551
 
< 0.1%

Availability 30
Real number (ℝ)

High correlation  Zeros 

Distinct31
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.710078
Minimum0
Maximum30
Zeros3465
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:33.459981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q313
95-th percentile29
Maximum30
Range30
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.0479518
Coefficient of variation (CV)1.0387911
Kurtosis0.0090804159
Mean8.710078
Median Absolute Deviation (MAD)6
Skewness1.0150063
Sum115034
Variance81.865432
MonotonicityNot monotonic
2026-01-21T12:20:33.681954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
03465
26.2%
7666
 
5.0%
6609
 
4.6%
30602
 
4.6%
5598
 
4.5%
4578
 
4.4%
3544
 
4.1%
8518
 
3.9%
9492
 
3.7%
2483
 
3.7%
Other values (21)4652
35.2%
ValueCountFrequency (%)
03465
26.2%
1471
 
3.6%
2483
 
3.7%
3544
 
4.1%
4578
 
4.4%
5598
 
4.5%
6609
 
4.6%
7666
 
5.0%
8518
 
3.9%
9492
 
3.7%
ValueCountFrequency (%)
30602
4.6%
29288
2.2%
28153
 
1.2%
2794
 
0.7%
2693
 
0.7%
2588
 
0.7%
2499
 
0.7%
23106
 
0.8%
22114
 
0.9%
21120
 
0.9%

Availability 60
Real number (ℝ)

High correlation  Zeros 

Distinct61
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.862649
Minimum0
Maximum60
Zeros2537
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:33.878821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median20
Q338
95-th percentile59
Maximum60
Range60
Interquartile range (IQR)33

Descriptive statistics

Standard deviation19.44914
Coefficient of variation (CV)0.85069495
Kurtosis-1.0320055
Mean22.862649
Median Absolute Deviation (MAD)17
Skewness0.44814853
Sum301947
Variance378.26903
MonotonicityNot monotonic
2026-01-21T12:20:34.147497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02537
 
19.2%
60591
 
4.5%
6366
 
2.8%
59278
 
2.1%
5260
 
2.0%
16237
 
1.8%
37232
 
1.8%
22221
 
1.7%
9214
 
1.6%
11213
 
1.6%
Other values (51)8058
61.0%
ValueCountFrequency (%)
02537
19.2%
1187
 
1.4%
2179
 
1.4%
3162
 
1.2%
4183
 
1.4%
5260
 
2.0%
6366
 
2.8%
7189
 
1.4%
8198
 
1.5%
9214
 
1.6%
ValueCountFrequency (%)
60591
4.5%
59278
2.1%
58149
 
1.1%
5792
 
0.7%
5680
 
0.6%
5571
 
0.5%
5488
 
0.7%
5388
 
0.7%
52102
 
0.8%
5186
 
0.7%

Availability 90
Real number (ℝ)

High correlation  Zeros 

Distinct91
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.016734
Minimum0
Maximum90
Zeros1806
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:34.341781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113
median38
Q365
95-th percentile89
Maximum90
Range90
Interquartile range (IQR)52

Descriptive statistics

Standard deviation29.27527
Coefficient of variation (CV)0.73157571
Kurtosis-1.2113595
Mean40.016734
Median Absolute Deviation (MAD)26
Skewness0.15431023
Sum528501
Variance857.04144
MonotonicityNot monotonic
2026-01-21T12:20:34.541646image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01806
 
13.7%
90584
 
4.4%
89275
 
2.1%
36268
 
2.0%
6233
 
1.8%
35189
 
1.4%
67187
 
1.4%
5174
 
1.3%
53167
 
1.3%
32159
 
1.2%
Other values (81)9165
69.4%
ValueCountFrequency (%)
01806
13.7%
1118
 
0.9%
278
 
0.6%
3112
 
0.8%
4136
 
1.0%
5174
 
1.3%
6233
 
1.8%
7108
 
0.8%
8106
 
0.8%
9113
 
0.9%
ValueCountFrequency (%)
90584
4.4%
89275
2.1%
88144
 
1.1%
8793
 
0.7%
8674
 
0.6%
8571
 
0.5%
8481
 
0.6%
8378
 
0.6%
8284
 
0.6%
8183
 
0.6%

Availability 365
Real number (ℝ)

High correlation  Zeros 

Distinct366
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205.44272
Minimum0
Maximum365
Zeros1126
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:34.770647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q183
median247
Q3321
95-th percentile364
Maximum365
Range365
Interquartile range (IQR)238

Descriptive statistics

Standard deviation127.01424
Coefficient of variation (CV)0.61824651
Kurtosis-1.4067698
Mean205.44272
Median Absolute Deviation (MAD)98
Skewness-0.34069338
Sum2713282
Variance16132.618
MonotonicityNot monotonic
2026-01-21T12:20:35.022071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01126
 
8.5%
365505
 
3.8%
364179
 
1.4%
311149
 
1.1%
281141
 
1.1%
342109
 
0.8%
36399
 
0.7%
28093
 
0.7%
34191
 
0.7%
31088
 
0.7%
Other values (356)10627
80.5%
ValueCountFrequency (%)
01126
8.5%
138
 
0.3%
232
 
0.2%
348
 
0.4%
429
 
0.2%
529
 
0.2%
632
 
0.2%
722
 
0.2%
828
 
0.2%
935
 
0.3%
ValueCountFrequency (%)
365505
3.8%
364179
 
1.4%
36399
 
0.7%
36255
 
0.4%
36145
 
0.3%
36041
 
0.3%
35947
 
0.4%
35844
 
0.3%
35763
 
0.5%
35647
 
0.4%

Number of Reviews
Real number (ℝ)

Zeros 

Distinct257
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.123571
Minimum0
Maximum446
Zeros2713
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:35.236784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q328
95-th percentile101
Maximum446
Range446
Interquartile range (IQR)27

Descriptive statistics

Standard deviation38.48544
Coefficient of variation (CV)1.6643381
Kurtosis13.76499
Mean23.123571
Median Absolute Deviation (MAD)7
Skewness3.16104
Sum305393
Variance1481.1291
MonotonicityNot monotonic
2026-01-21T12:20:35.451204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02713
20.5%
11083
 
8.2%
2699
 
5.3%
3568
 
4.3%
4477
 
3.6%
5376
 
2.8%
6363
 
2.7%
7345
 
2.6%
9269
 
2.0%
8260
 
2.0%
Other values (247)6054
45.8%
ValueCountFrequency (%)
02713
20.5%
11083
 
8.2%
2699
 
5.3%
3568
 
4.3%
4477
 
3.6%
5376
 
2.8%
6363
 
2.7%
7345
 
2.6%
8260
 
2.0%
9269
 
2.0%
ValueCountFrequency (%)
4461
< 0.1%
3891
< 0.1%
3561
< 0.1%
3521
< 0.1%
3441
< 0.1%
3431
< 0.1%
3391
< 0.1%
3311
< 0.1%
3211
< 0.1%
3191
< 0.1%

Review Scores Rating
Real number (ℝ)

High correlation  Missing 

Distinct54
Distinct (%)0.5%
Missing2838
Missing (%)21.5%
Infinite0
Infinite (%)0.0%
Mean91.619346
Minimum20
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:35.673983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile77
Q188
median94
Q398
95-th percentile100
Maximum100
Range80
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.9945358
Coefficient of variation (CV)0.098172888
Kurtosis12.304273
Mean91.619346
Median Absolute Deviation (MAD)4
Skewness-2.6385338
Sum950001
Variance80.901674
MonotonicityNot monotonic
2026-01-21T12:20:35.929596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1001845
14.0%
96717
 
5.4%
93705
 
5.3%
95676
 
5.1%
97626
 
4.7%
98578
 
4.4%
94578
 
4.4%
90574
 
4.3%
80549
 
4.2%
92464
 
3.5%
Other values (44)3057
23.1%
(Missing)2838
21.5%
ValueCountFrequency (%)
2019
0.1%
261
 
< 0.1%
302
 
< 0.1%
331
 
< 0.1%
4030
0.2%
474
 
< 0.1%
491
 
< 0.1%
5012
 
0.1%
521
 
< 0.1%
535
 
< 0.1%
ValueCountFrequency (%)
1001845
14.0%
99268
 
2.0%
98578
 
4.4%
97626
 
4.7%
96717
 
5.4%
95676
 
5.1%
94578
 
4.4%
93705
 
5.3%
92464
 
3.5%
91424
 
3.2%

Review Scores Accuracy
Real number (ℝ)

High correlation  Missing 

Distinct9
Distinct (%)0.1%
Missing2856
Missing (%)21.6%
Infinite0
Infinite (%)0.0%
Mean9.4075935
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:36.110695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q19
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.92560794
Coefficient of variation (CV)0.098389449
Kurtosis13.979005
Mean9.4075935
Median Absolute Deviation (MAD)0
Skewness-2.8842818
Sum97378
Variance0.85675006
MonotonicityNot monotonic
2026-01-21T12:20:36.271647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
106009
45.5%
93240
24.5%
8766
 
5.8%
7162
 
1.2%
6101
 
0.8%
432
 
0.2%
223
 
0.2%
516
 
0.1%
32
 
< 0.1%
(Missing)2856
21.6%
ValueCountFrequency (%)
223
 
0.2%
32
 
< 0.1%
432
 
0.2%
516
 
0.1%
6101
 
0.8%
7162
 
1.2%
8766
 
5.8%
93240
24.5%
106009
45.5%
ValueCountFrequency (%)
106009
45.5%
93240
24.5%
8766
 
5.8%
7162
 
1.2%
6101
 
0.8%
516
 
0.1%
432
 
0.2%
32
 
< 0.1%
223
 
0.2%

Review Scores Cleanliness
Real number (ℝ)

High correlation  Missing 

Distinct9
Distinct (%)0.1%
Missing2850
Missing (%)21.6%
Infinite0
Infinite (%)0.0%
Mean9.32577
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:36.411968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q19
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.99558954
Coefficient of variation (CV)0.10675682
Kurtosis10.219736
Mean9.32577
Median Absolute Deviation (MAD)0
Skewness-2.505872
Sum96587
Variance0.99119853
MonotonicityNot monotonic
2026-01-21T12:20:36.581720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
105703
43.2%
93203
24.3%
8991
 
7.5%
7232
 
1.8%
6146
 
1.1%
430
 
0.2%
524
 
0.2%
222
 
0.2%
36
 
< 0.1%
(Missing)2850
21.6%
ValueCountFrequency (%)
222
 
0.2%
36
 
< 0.1%
430
 
0.2%
524
 
0.2%
6146
 
1.1%
7232
 
1.8%
8991
 
7.5%
93203
24.3%
105703
43.2%
ValueCountFrequency (%)
105703
43.2%
93203
24.3%
8991
 
7.5%
7232
 
1.8%
6146
 
1.1%
524
 
0.2%
430
 
0.2%
36
 
< 0.1%
222
 
0.2%

Review Scores Checkin
Real number (ℝ)

High correlation  Missing 

Distinct9
Distinct (%)0.1%
Missing2866
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean9.6217
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:36.736970image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q19
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.79274335
Coefficient of variation (CV)0.082391194
Kurtosis24.644835
Mean9.6217
Median Absolute Deviation (MAD)0
Skewness-3.9243117
Sum99498
Variance0.62844202
MonotonicityNot monotonic
2026-01-21T12:20:36.901001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
107487
56.7%
92241
 
17.0%
8422
 
3.2%
770
 
0.5%
669
 
0.5%
220
 
0.2%
417
 
0.1%
513
 
0.1%
32
 
< 0.1%
(Missing)2866
 
21.7%
ValueCountFrequency (%)
220
 
0.2%
32
 
< 0.1%
417
 
0.1%
513
 
0.1%
669
 
0.5%
770
 
0.5%
8422
 
3.2%
92241
 
17.0%
107487
56.7%
ValueCountFrequency (%)
107487
56.7%
92241
 
17.0%
8422
 
3.2%
770
 
0.5%
669
 
0.5%
513
 
0.1%
417
 
0.1%
32
 
< 0.1%
220
 
0.2%

Review Scores Communication
Real number (ℝ)

High correlation  Missing 

Distinct8
Distinct (%)0.1%
Missing2850
Missing (%)21.6%
Infinite0
Infinite (%)0.0%
Mean9.6441054
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:37.070859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q19
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.75863591
Coefficient of variation (CV)0.078663171
Kurtosis25.260158
Mean9.6441054
Median Absolute Deviation (MAD)0
Skewness-3.9284711
Sum99884
Variance0.57552845
MonotonicityNot monotonic
2026-01-21T12:20:37.261704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
107633
57.8%
92151
 
16.3%
8395
 
3.0%
779
 
0.6%
655
 
0.4%
417
 
0.1%
217
 
0.1%
510
 
0.1%
(Missing)2850
 
21.6%
ValueCountFrequency (%)
217
 
0.1%
417
 
0.1%
510
 
0.1%
655
 
0.4%
779
 
0.6%
8395
 
3.0%
92151
 
16.3%
107633
57.8%
ValueCountFrequency (%)
107633
57.8%
92151
 
16.3%
8395
 
3.0%
779
 
0.6%
655
 
0.4%
510
 
0.1%
417
 
0.1%
217
 
0.1%

Review Scores Location
Real number (ℝ)

Missing 

Distinct8
Distinct (%)0.1%
Missing2868
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean9.543186
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:37.415812image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q19
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.76673106
Coefficient of variation (CV)0.080343301
Kurtosis12.103847
Mean9.543186
Median Absolute Deviation (MAD)0
Skewness-2.5754233
Sum98667
Variance0.58787652
MonotonicityNot monotonic
2026-01-21T12:20:37.564361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
106805
51.5%
92664
 
20.2%
8691
 
5.2%
793
 
0.7%
662
 
0.5%
510
 
0.1%
28
 
0.1%
46
 
< 0.1%
(Missing)2868
21.7%
ValueCountFrequency (%)
28
 
0.1%
46
 
< 0.1%
510
 
0.1%
662
 
0.5%
793
 
0.7%
8691
 
5.2%
92664
 
20.2%
106805
51.5%
ValueCountFrequency (%)
106805
51.5%
92664
 
20.2%
8691
 
5.2%
793
 
0.7%
662
 
0.5%
510
 
0.1%
46
 
< 0.1%
28
 
0.1%

Review Scores Value
Real number (ℝ)

High correlation  Missing 

Distinct9
Distinct (%)0.1%
Missing2868
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean9.211916
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:37.700399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q19
median9
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9553128
Coefficient of variation (CV)0.10370403
Kurtosis10.307184
Mean9.211916
Median Absolute Deviation (MAD)1
Skewness-2.3423249
Sum95242
Variance0.91262255
MonotonicityNot monotonic
2026-01-21T12:20:37.850674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
104510
34.1%
94311
32.6%
81105
 
8.4%
7204
 
1.5%
6132
 
1.0%
432
 
0.2%
520
 
0.2%
220
 
0.2%
35
 
< 0.1%
(Missing)2868
21.7%
ValueCountFrequency (%)
220
 
0.2%
35
 
< 0.1%
432
 
0.2%
520
 
0.2%
6132
 
1.0%
7204
 
1.5%
81105
 
8.4%
94311
32.6%
104510
34.1%
ValueCountFrequency (%)
104510
34.1%
94311
32.6%
81105
 
8.4%
7204
 
1.5%
6132
 
1.0%
520
 
0.2%
432
 
0.2%
35
 
< 0.1%
220
 
0.2%
Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size206.4 KiB
2
4992 
0
4244 
1
3964 
4
 
5
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters13207
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row2
5th row1

Common Values

ValueCountFrequency (%)
24992
37.8%
04244
32.1%
13964
30.0%
45
 
< 0.1%
32
 
< 0.1%

Length

2026-01-21T12:20:38.054766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-21T12:20:38.235931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
24992
37.8%
04244
32.1%
13964
30.0%
45
 
< 0.1%
32
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
24992
37.8%
04244
32.1%
13964
30.0%
45
 
< 0.1%
32
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)13207
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
24992
37.8%
04244
32.1%
13964
30.0%
45
 
< 0.1%
32
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)13207
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
24992
37.8%
04244
32.1%
13964
30.0%
45
 
< 0.1%
32
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)13207
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
24992
37.8%
04244
32.1%
13964
30.0%
45
 
< 0.1%
32
 
< 0.1%

Square Meters
Real number (ℝ)

Missing  Zeros 

Distinct90
Distinct (%)17.3%
Missing12688
Missing (%)96.1%
Infinite0
Infinite (%)0.0%
Mean35.11805
Minimum0
Maximum480.0298
Zeros205
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size206.4 KiB
2026-01-21T12:20:38.446364image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10.033524
Q360.015338
95-th percentile120.03068
Maximum480.0298
Range480.0298
Interquartile range (IQR)60.015338

Descriptive statistics

Standard deviation50.798788
Coefficient of variation (CV)1.4465151
Kurtosis13.468391
Mean35.11805
Median Absolute Deviation (MAD)10.033524
Skewness2.7021259
Sum18226.268
Variance2580.5169
MonotonicityNot monotonic
2026-01-21T12:20:38.728343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0205
 
1.6%
60.01533818
 
0.1%
44.96505216
 
0.1%
69.95595913
 
0.1%
49.98181412
 
0.1%
74.97272112
 
0.1%
40.04119311
 
0.1%
65.032110
 
0.1%
79.98948310
 
0.1%
90.0230079
 
0.1%
Other values (80)203
 
1.5%
(Missing)12688
96.1%
ValueCountFrequency (%)
0205
1.6%
0.7432242
 
< 0.1%
0.8361271
 
< 0.1%
0.929031
 
< 0.1%
1.4864481
 
< 0.1%
2.0438661
 
< 0.1%
2.3225752
 
< 0.1%
2.787091
 
< 0.1%
2.9728961
 
< 0.1%
3.2516052
 
< 0.1%
ValueCountFrequency (%)
480.0298011
 
< 0.1%
250.0019734
< 0.1%
200.0201595
< 0.1%
189.9866351
 
< 0.1%
180.0460141
 
< 0.1%
164.9957282
 
< 0.1%
159.9789662
 
< 0.1%
158.9570331
 
< 0.1%
150.0383453
< 0.1%
140.0048212
 
< 0.1%

Interactions

2026-01-21T12:20:17.606896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:18:48.681746image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:18:50.420723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:18:51.998854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:18:53.652566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:18:55.144051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:18:56.599271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:18:58.143224image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:05.950463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:07.328007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:09.422555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:10.859169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:12.351300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:14.727888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:16.261884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:17.560482image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:18.947738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-21T12:18:56.279708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-21T12:19:07.027986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:08.553493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:10.496439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:12.052817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:13.569188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:15.943557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:17.281028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:18.644880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:21.135641image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:22.706883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:24.412361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-21T12:19:27.384026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-21T12:18:51.713109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-21T12:19:10.560914image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:12.099881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:13.646793image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:16.001770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-21T12:19:22.773928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:24.462934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:25.957316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:27.447377image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:32.188233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:38.254969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:19:44.362150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-21T12:19:12.145632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-21T12:19:57.476437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:20:11.403565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T12:20:17.365209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2026-01-21T12:20:38.974737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
AccommodatesAvailability 30Availability 365Availability 60Availability 90BathroomsBed TypeBedroomsBedsCancellation PolicyCleaning FeeGuests IncludedHost Total Listings CountMarketMaximum NightsMinimum NightsNeighbourhood CleansedNeighbourhood Group CleansedNumber of ReviewsPriceProperty TypeReview Scores AccuracyReview Scores CheckinReview Scores CleanlinessReview Scores CommunicationReview Scores LocationReview Scores RatingReview Scores ValueRoom TypeSecurity DepositSquare Meters
Accommodates1.000-0.0190.017-0.056-0.0900.2380.0090.5760.7820.1130.5230.5730.2230.0080.0750.1340.056-0.0720.1900.686-0.111-0.056-0.070-0.026-0.0520.049-0.081-0.0770.4760.1930.251
Availability 30-0.0191.0000.5280.9210.858-0.0220.000-0.0150.0030.1090.007-0.0400.0330.001-0.024-0.1500.0070.064-0.0170.0100.064-0.079-0.065-0.045-0.070-0.066-0.079-0.0800.257-0.031-0.047
Availability 3650.0170.5281.0000.5950.6310.0060.006-0.0070.0510.1090.1100.0230.156-0.0020.076-0.0510.0020.0480.0760.0380.040-0.122-0.086-0.063-0.103-0.076-0.116-0.1250.1910.048-0.062
Availability 60-0.0560.9210.5951.0000.966-0.0330.001-0.038-0.0240.121-0.025-0.0640.0330.007-0.021-0.149-0.0030.073-0.023-0.0310.067-0.086-0.069-0.055-0.079-0.086-0.084-0.0890.273-0.036-0.066
Availability 90-0.0900.8580.6310.9661.000-0.0330.011-0.057-0.0500.131-0.046-0.0870.0360.008-0.014-0.134-0.0080.077-0.046-0.0650.069-0.093-0.068-0.060-0.080-0.097-0.085-0.0950.262-0.027-0.092
Bathrooms0.238-0.0220.006-0.033-0.0331.0000.0100.3870.2860.0780.2690.0980.147-0.0140.0410.1210.0160.039-0.0630.2040.0170.034-0.0110.025-0.0200.0490.0470.0260.0990.2280.198
Bed Type0.0090.0000.0060.0010.0110.0101.0000.0130.0120.0000.0000.0000.0030.0000.0000.0000.0000.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0330.0650.0000.000
Bedrooms0.576-0.015-0.007-0.038-0.0570.3870.0131.0000.6290.0580.4140.3180.040-0.0530.0410.1160.0230.0390.0230.454-0.0290.017-0.0160.0190.006-0.0020.019-0.0020.3070.2120.281
Beds0.7820.0030.051-0.024-0.0500.2860.0120.6291.0000.0670.4340.4520.1620.0160.0650.1070.024-0.0030.1230.532-0.050-0.046-0.039-0.002-0.0250.010-0.051-0.0550.3050.1760.217
Cancellation Policy0.1130.1090.1090.1210.1310.0780.0000.0580.0671.0000.1220.0630.1610.0180.0000.0000.0630.0980.0850.0690.0540.0720.0810.0400.0810.0350.0750.0890.1710.1370.062
Cleaning Fee0.5230.0070.110-0.025-0.0460.2690.0000.4140.4340.1221.0000.3400.278-0.0120.0940.3090.0550.037-0.0460.683-0.0900.042-0.0340.086-0.0240.1050.0470.0020.1180.4160.183
Guests Included0.573-0.0400.023-0.064-0.0870.0980.0000.3180.4520.0630.3401.0000.155-0.0270.0540.1210.056-0.1030.2660.447-0.0780.012-0.0080.040-0.0000.067-0.025-0.0160.1810.0890.076
Host Total Listings Count0.2230.0330.1560.0330.0360.1470.0030.0400.1620.1610.2780.1551.0000.0270.0940.0990.036-0.0570.0250.167-0.077-0.222-0.245-0.128-0.259-0.012-0.251-0.2250.1300.064-0.058
Market0.0080.001-0.0020.0070.008-0.0140.000-0.0530.0160.018-0.012-0.0270.0271.0000.013-0.032-0.041-0.009-0.0510.037-0.021-0.0030.002-0.0080.003-0.0000.0070.0090.055-0.009NaN
Maximum Nights0.075-0.0240.076-0.021-0.0140.0410.0000.0410.0650.0000.0940.0540.0940.0131.000-0.0360.0030.006-0.0420.065-0.018-0.006-0.025-0.013-0.0240.003-0.024-0.0330.0000.092-0.117
Minimum Nights0.134-0.150-0.051-0.149-0.1340.1210.0000.1160.1070.0000.3090.1210.099-0.032-0.0361.0000.005-0.034-0.0260.212-0.0850.0440.0500.0530.0460.0480.0480.0330.0000.1660.087
Neighbourhood Cleansed0.0560.0070.002-0.003-0.0080.0160.0000.0230.0240.0630.0550.0560.036-0.0410.0030.0051.000-0.1150.0350.071-0.031-0.015-0.033-0.020-0.0140.097-0.007-0.0040.1130.0190.040
Neighbourhood Group Cleansed-0.0720.0640.0480.0730.0770.0390.0120.039-0.0030.0980.037-0.103-0.057-0.0090.006-0.034-0.1151.000-0.154-0.0820.061-0.000-0.009-0.015-0.015-0.2050.001-0.0250.1960.0280.094
Number of Reviews0.190-0.0170.076-0.023-0.046-0.0630.0000.0230.1230.085-0.0460.2660.025-0.051-0.042-0.0260.035-0.1541.0000.049-0.052-0.025-0.0030.0020.0030.048-0.128-0.0040.084-0.114-0.106
Price0.6860.0100.038-0.031-0.0650.2040.0000.4540.5320.0690.6830.4470.1670.0370.0650.2120.071-0.0820.0491.000-0.1140.0870.0310.1110.0390.2150.0680.0270.2320.3640.184
Property Type-0.1110.0640.0400.0670.0690.0170.000-0.029-0.0500.054-0.090-0.078-0.077-0.021-0.018-0.085-0.0310.061-0.052-0.1141.0000.0060.009-0.006-0.001-0.0450.0260.0110.175-0.027-0.002
Review Scores Accuracy-0.056-0.079-0.122-0.086-0.0930.0340.0000.017-0.0460.0720.0420.012-0.222-0.003-0.0060.044-0.015-0.000-0.0250.0870.0061.0000.4910.5930.4950.2640.6710.6330.0730.0860.035
Review Scores Checkin-0.070-0.065-0.086-0.069-0.068-0.0110.000-0.016-0.0390.081-0.034-0.008-0.2450.002-0.0250.050-0.033-0.009-0.0030.0310.0090.4911.0000.4500.6620.2560.5310.4880.0590.027-0.015
Review Scores Cleanliness-0.026-0.045-0.063-0.055-0.0600.0250.0000.019-0.0020.0400.0860.040-0.128-0.008-0.0130.053-0.020-0.0150.0020.111-0.0060.5930.4501.0000.4420.2430.6300.5770.0570.075-0.013
Review Scores Communication-0.052-0.070-0.103-0.079-0.080-0.0200.0000.006-0.0250.081-0.024-0.000-0.2590.003-0.0240.046-0.014-0.0150.0030.039-0.0010.4950.6620.4421.0000.2570.5430.4920.0450.008-0.041
Review Scores Location0.049-0.066-0.076-0.086-0.0970.0490.000-0.0020.0100.0350.1050.067-0.012-0.0000.0030.0480.097-0.2050.0480.215-0.0450.2640.2560.2430.2571.0000.3230.3230.0820.045-0.033
Review Scores Rating-0.081-0.079-0.116-0.084-0.0850.0470.0000.019-0.0510.0750.047-0.025-0.2510.007-0.0240.048-0.0070.001-0.1280.0680.0260.6710.5310.6300.5430.3231.0000.7270.0670.087-0.032
Review Scores Value-0.077-0.080-0.125-0.089-0.0950.0260.033-0.002-0.0550.0890.002-0.016-0.2250.009-0.0330.033-0.004-0.025-0.0040.0270.0110.6330.4880.5770.4920.3230.7271.0000.0780.046-0.006
Room Type0.4760.2570.1910.2730.2620.0990.0650.3070.3050.1710.1180.1810.1300.0550.0000.0000.1130.1960.0840.2320.1750.0730.0590.0570.0450.0820.0670.0781.0000.0660.165
Security Deposit0.193-0.0310.048-0.036-0.0270.2280.0000.2120.1760.1370.4160.0890.064-0.0090.0920.1660.0190.028-0.1140.364-0.0270.0860.0270.0750.0080.0450.0870.0460.0661.0000.065
Square Meters0.251-0.047-0.062-0.066-0.0920.1980.0000.2810.2170.0620.1830.076-0.058NaN-0.1170.0870.0400.094-0.1060.184-0.0020.035-0.015-0.013-0.041-0.033-0.032-0.0060.1650.0651.000

Missing values

2026-01-21T12:20:23.227516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2026-01-21T12:20:23.709231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2026-01-21T12:20:24.375417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Host Total Listings CountNeighbourhood CleansedNeighbourhood Group CleansedZipcodeMarketProperty TypeRoom TypeAccommodatesBathroomsBedroomsBedsBed TypePriceSecurity DepositCleaning FeeGuests IncludedMinimum NightsMaximum NightsAvailability 30Availability 60Availability 90Availability 365Number of ReviewsReview Scores RatingReview Scores AccuracyReview Scores CleanlinessReview Scores CheckinReview Scores CommunicationReview Scores LocationReview Scores ValueCancellation PolicySquare Meters
403.073132800720122.01.01.0428.0NaNNaN111125031224017187.09.09.09.09.09.09.00NaN
411.097142800120021.00.01.0458.0100.0NaN121125499155296.010.010.010.010.010.010.01NaN
422.097142800120031.00.02.0470.0150.030.0221125715322923687.09.09.010.010.010.09.00NaN
438.097142800120111.01.01.0426.0NaNNaN1711251437593341595.010.09.010.010.010.09.02NaN
442.097142800120061.02.03.0470.0NaN20.0121125000520NaNNaNNaNNaNNaNNaNNaN1NaN
4513.0971428006216041.01.01.04108.0NaN30.0321125833503251191.09.09.09.010.010.09.02NaN
4645.097142800120062.53.03.04260.0300.090.01511254441911098.09.010.010.010.010.010.02NaN
471.055142800120031.01.01.0460.0NaNNaN2430112152317296.010.010.010.010.010.010.00NaN
481.055142800920021.01.01.0442.0100.030.0159002959149260.07.08.05.06.09.05.01NaN
4913.055142800120062.02.03.04160.0250.049.0421125516302511088.09.09.09.09.010.09.02NaN
Host Total Listings CountNeighbourhood CleansedNeighbourhood Group CleansedZipcodeMarketProperty TypeRoom TypeAccommodatesBathroomsBedroomsBedsBed TypePriceSecurity DepositCleaning FeeGuests IncludedMinimum NightsMaximum NightsAvailability 30Availability 60Availability 90Availability 365Number of ReviewsReview Scores RatingReview Scores AccuracyReview Scores CleanlinessReview Scores CheckinReview Scores CommunicationReview Scores LocationReview Scores ValueCancellation PolicySquare Meters
147483.012322802520111.01.01.0412.0100.010.012210889202290.09.09.09.09.08.09.02NaN
147491.08172802620121.01.01.0425.0NaNNaN115835623334292.09.09.010.010.08.09.00NaN
147501.08172802620021.00.01.0435.0NaN12.02331000214383.09.08.09.09.09.09.01NaN
147511.08172802621110.01.01.0420.0NaNNaN133651825553301100.010.010.010.010.010.010.00NaN
147521.072172802620121.01.01.0422.0NaNNaN12112500009796.010.010.010.010.09.010.00NaN
147532.091172804120121.01.01.0316.0NaNNaN111125735613337090.09.09.09.09.08.09.02NaN
147543.0104122805320021.01.01.0435.0NaNNaN121529211091295.09.09.09.010.09.09.00NaN
147554.0104122805328171.02.05.0425.0300.0NaN211125444262180.010.010.010.010.010.010.02NaN
147564.069112803020061.03.04.0450.086.015.033112531919291987.09.09.010.09.08.09.01NaN
147572.069112803020111.01.01.0416.0NaNNaN1130430603351098.010.010.010.010.010.010.00NaN

Duplicate rows

Most frequently occurring

Host Total Listings CountNeighbourhood CleansedNeighbourhood Group CleansedZipcodeMarketProperty TypeRoom TypeAccommodatesBathroomsBedroomsBedsBed TypePriceSecurity DepositCleaning FeeGuests IncludedMinimum NightsMaximum NightsAvailability 30Availability 60Availability 90Availability 365Number of ReviewsReview Scores RatingReview Scores AccuracyReview Scores CleanlinessReview Scores CheckinReview Scores CommunicationReview Scores LocationReview Scores ValueCancellation PolicySquare Meters# duplicates
815.04832801220021.00.01.0460.0200.0NaN12112500000NaNNaNNaNNaNNaNNaNNaN1NaN4
1730.0161028008202101.01.010.0411.0NaNNaN1111253060903650NaNNaNNaNNaNNaNNaNNaN2NaN4
2539.03932801450021.00.02.0489.0NaNNaN1111251544743490NaNNaNNaNNaNNaNNaNNaN0NaN4
614.0161028008214120.01.02.0439.0NaNNaN1111250052800NaNNaNNaNNaNNaNNaNNaN0NaN3
714.0161028008214120.01.02.0439.0NaNNaN1111250062810NaNNaNNaNNaNNaNNaNNaN0NaN3
1838.08032801320121.01.01.0452.0NaNNaN11112500000NaNNaNNaNNaNNaNNaNNaN2NaN3
2438.011132801320125.01.01.0433.0200.0NaN1411250010100NaNNaNNaNNaNNaNNaNNaN2NaN3
27114.04832801220122.01.01.0420.0NaN15.011011250062810NaNNaNNaNNaNNaNNaNNaN2NaN3
03.08032800520111.01.01.0429.0NaNNaN1211250002190NaNNaNNaNNaNNaNNaNNaN0NaN2
14.03202804520111.01.01.0415.0NaNNaN11112500000NaNNaNNaNNaNNaNNaNNaN0NaN2